README.md

---
license: mit
task_categories:
- image-segmentation
tags:
- computer-vision
- segmentation
- runway
- airport
- aerial
- satellite
size_categories:
- 1K<n<10K
---

# Runway Object-Oriented Bounding Box (OBB) Segmentation Dataset v2

## Dataset Description

This dataset contains aerial/satellite imagery for runway segmentation using oriented bounding boxes (OBB). The dataset is specifically designed for semantic segmentation tasks focusing on runway detection and delineation in aerial imagery.

## Dataset Statistics

| Split | Images | Labels |
|-------|--------|--------|
| Train | 303 | 303 |
| Val | 65 | 65 |
| Test | 65 | 65 |

## Classes

```json
{
  "0": "_background_",
  "1": "rwy_obb"
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("Spatiallysaying/rwy_obb-300-65-65_v2")

# Load class mappings
import json
with open('id2label.json', 'r') as f:
    id2label = json.load(f)
with open('label2id.json', 'r') as f:
    label2id = json.load(f)
```

## Data Format

- **Images**: RGB images in JPEG format
- **Labels**: Grayscale segmentation masks in PNG format
  - Pixel values correspond to class IDs (0=background, 1=runway)
- **Resolution**: Variable (original image dimensions preserved)

## Citation

```bibtex
@dataset{rwy_obb_300_65_65_v2,
  title={Runway Object-Oriented Bounding Box Segmentation Dataset v2},
  author={Spatiallysaying},
  year={2026},
  url={https://huggingface.co/datasets/Spatiallysaying/rwy_obb-300-65-65_v2}
}
```

## License

MIT License